Adaptive Human-Computer Interfaces

Norcio, Anthony F.; Stanley, Jeff

doi:10.21236/ada200930

Cited by 12 publications

(6 citation statements)

References 24 publications

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“…7. "the user may not be able to develop a coheren t model of the system if the system change s frequently" [Norcio and Stanley 1988] .…”

Section: Arguments For Static Use R Interface Smentioning

confidence: 99%

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Dynamic versus static menus: an exploratory comparison

Mitchell¹,

Shneiderman²

1989

SIGCHI Bull.

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Sixty-three subjects completed 24 tasks using a menu driven computer program . The menu items appeared in a fixed (static) order during 12 of the tasks . During the other 12 tasks the menu ite m order changed dynamically such that the mos t frequently selected items always appeared at the top of the menu. All the subjects tried both dynamic and static menus.The subjects that used adaptive dynamic menus fo r the first set of tasks were significantly slower than those who used static menus on the first set of tasks . Subjects' performance during the second se t of tasks was not affected by menu style . Eightyone percent of the subjects preferred working wit h static menus to working with dynamic menus. INTRODUCTIO N

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“…7. "the user may not be able to develop a coheren t model of the system if the system change s frequently" [Norcio and Stanley 1988] .…”

Section: Arguments For Static Use R Interface Smentioning

confidence: 99%

“…"The idea of an adaptive interface i s straightforward ; simply, it means that the interfac e should adapt to the user rather than the user adap t to the system" [Norcio and Stanley 1988] .…”

Section: Introductionmentioning

confidence: 99%

Dynamic versus static menus: an exploratory comparison

Mitchell¹,

Shneiderman²

1989

SIGCHI Bull.

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“…A problem with systems that take initiative tends to be that users do not feel in control [3]. However, the responses of both groups to the control related questions were very similar, showing that the initiative of the system did not negatively impact the users feeling in control.…”

Section: User Controlmentioning

confidence: 95%

Design and evaluation of just-in-time help in a multi-modal user interface

Masthoff

Gupta

2002

Proceedings of the 7th International Conference on Intelligent User Interfaces

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“…The concept of the adaptive inlerface [4] has become in scope of the theoretical and experimental consideration for the next gcnuration MMI bawd on these insight for human cognitive activities. The adaptive intcrface is dcfincd as thc intelligent intcrface which can accommodate the form of human-machine intcraction according to thc mental and physical state of the operator.…”

Section: Basic Concept Of Mad1mentioning

confidence: 99%

Experimental study toward mutual adaptive interface

Takahashi

Tsuyoshi

Kuba

et al.

Proceedings of 1994 3rd IEEE International Workshop on Robot and Human Communication

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The experimental study towards the mutual adaptive interface has been perfomed in order to validate the effectiveness of the adaptive mechanism based on the estimated human state. The Mental Work Load(MWL), which is estimated bnscd on the physiological meascli'es. has been taken a s a representative index of the subject and used to control the task dificulty in the example t;Lsk(X-window-bascd game, called X-jewel). The results of the laboratory experimenls showed the positive effect in the performance scwre. which implies the cffectivencss of the adaptive mechanism in the present task domain. . INTRODUCTIONAlong with the incrcasing dcgrce of the automation in the modcm twhnological systems, the role of the human operator has shirtcd from the manual operation to the supcrvisory task. Although thc work load during the normal operation has reduccd significantly, the operator is required to pcrform critical task at thc case of system failure, when the automatized system is not capable of handling the situation. In the aviation society, thc problem of automation is discussed undcr the name or "Human Centered Aircraft Automation"[ 11. It has been pointed out in [l] that the following attributes are quite important in the course of progrcssing automation. Accountablc / Subdinate, Predictable / Adaptive, Comprehensive / Flexible, Dependable / Informative, Error-resistant / Error-tolerant. It is pointed out that some of these factors have some trade-off and some compromise is required depending on the situation.In the present study, we have set our focus mainly on the adaptability in the human-machine interaction among above mentioned attributes required for reliable automation. In [2], we have proposed the basic concept of the mutual adaptive interface, with two outstanding features; Human state estimation based on the physiological measures and Use of feedback controller. The proposed system aims at performing multi-level adaplation based on the cstimatcd human states taking thc dynamic naturc of thc human being into account. In othcr words, thc present study is an attempt to control the trade-off among the attributes required according to the faced situation and the state of the human operator.Although the validity of thc human state estimation has becn confirmed through the laboratory cxperimcnts[31, the effectiveness of the adaptation itself has not been validated in the prcvious work. In the prescnt paper, the experimcntal study towards the mutual adaptive interface is described with the emphasis on the validation of the adaptation mechanism. In chapter 2, thc basic concept of the mutual adaptive interface is revisited briefly and the purpose of the experiment is described. In chapter 3, the experimental setup and the content of the experiment are depicted followed by the results. After the discussion of the results, the papcr will be concluded by giving the future direction of the present work.

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Adaptive Human-Computer Interfaces

Cited by 12 publications

References 24 publications

Dynamic versus static menus: an exploratory comparison

Dynamic versus static menus: an exploratory comparison

Design and evaluation of just-in-time help in a multi-modal user interface

Experimental study toward mutual adaptive interface

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